Senior Solutions Architect - AI/ML - Services Delivery

Навыки

• AI-агенты
• AI-инструменты в работе
• AWS
• Azure
• Databricks
• ETL / ELT
• Google Cloud

О компании и продукте

• At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools. We are seeking experienced professionals with a strong background in Artificial Intelligence, Machine Learning, and Cloud Architecture to join our Services Delivery team to help create exciting new offerings and capabilities for our customers!

Задачи

• In this strategic role, you will help customers expand their use of the Snowflake Data Cloud to bring AI/ML pipelines from ideation to full production
• Leveraging Snowflake’s native features and extensive partner ecosystem, you will advise clients on best practices for scaling production-ready workloads
• You will design tailored AI/ML solutions, coordinate closely with customer teams and Systems Integrators, and provide the technical leadership and oversight needed to ensure successful outcomes
• AS A SR. SOLUTIONS ARCHITECT AT SNOWFLAKE, YOU WILL
• Be a technical expert on all aspects of Snowflake in relation to the AI/ML workload and provide customers with best practices given Snowflakes technology stack
• Work with customers to understand their AI/ML use case, discover key requirements, and architect a Snowflake-centric solution to be delivered by Services Delivery
• Understand how to build, deploy and AI and ML pipelines using Snowflake features and/or Snowflake ecosystem based on customer requirements
• Maintain deep understanding of competitive and complementary technologies and vendors within the AI/ML space, and how to position Snowflake in relation to them
• Provide guidance on how to resolve customer-specific technical challenges
• Support other members of the Services Delivery team develop their expertise
• Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing
• OUR IDEAL SOLUTION ARCHITECT - AI/ML WILL HAVE

Требования

• Work hands-on where needed using SQL, Python, and Cortex AI features to build POCs that demonstrate implementation techniques and best practices on Snowflake technology within the AI/ML workload
• Follow best practices, including ensuring knowledge transfer so that customers are properly enabled and are able to extend the capabilities of Snowflake on their own
• Minimum 5 years experience working with customers in a pre-sales or post-sales technical role
• Outstanding skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
• Thorough understanding of the common generative AI and agent lifecycles including document ingestion, vector embedding selection, llm selection and optimization, genAI monitoring and evaluation techniques
• Thorough understanding of the complete ML life-cycle including feature engineering, model development, model deployment and model management
• Strong understanding of AI/MLOps, coupled with technologies and methodologies for deploying and monitoring models and agents
• Experience and understanding of at least one public cloud platform (AWS, Azure or GCP)
• Experience with at least one AI/ML platform such as AWS Sagemaker, Databricks, GCP and Vertex AI, AzureML, Dataiku, Datarobot, etc
• Hands-on scripting experience with SQL and at least one of the following
• Python, Java or Scala
• Experience with libraries such as Pandas, PyTorch, TensorFlow, SciKit-Learn, LangChain/LangGraph, LlamaIndex or similar
• University degree in data science, computer science, engineering, mathematics or related fields, or equivalent experience

Будет плюсом

• FOR HAVING
• Experience with Databricks/Apache Spark
• Experience implementing data pipelines using ETL tools
• Proven success at enterprise software
• Vertical expertise in a core vertical such as FSI, Retail, Manufacturing etc
• Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data
• Snowflake employees must abide by the company’s data security plan as an essential part of their duties
• It is every employee's duty to keep customer information secure and confidential
• Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth
• We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake
• How do you want to make your impact?
• For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com http://careers.snowflake.com

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